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Using NMR metabolomics to identify responses of an environmental estrogen in blood plasma of fish

Journal article
Authors Linda Samuelsson
Lars Förlin
B Göran Karlsson
Margareta Adolfsson-Erici
D. G. Joakim Larsson
Published in Aquatic Toxicology (Amsterdam, Netherlands)
Volume 78
Issue 4
Pages 341-349
ISSN 0166-445X
Publication year 2006
Published at Institute of Neuroscience and Physiology, Department of Physiology
Swedish NMR Centre at Göteborg University
Department of Zoology
Pages 341-349
Language en
Links dx.doi.org/10.1016/j.aquatox.2006.0...
Keywords metabolomics, NMR, rainbow trout, ethinylestradiol, vitellogenin, blood plasmaAnimals, Enzyme-Linked Immunosorbent Assay, veterinary, Estrogens, blood, toxicity, Ethinyl Estradiol, blood, toxicity, Female, Male, Multivariate Analysis, Nuclear Magnetic Resonance, Biomolecular, methods, Oncorhynchus mykiss, blood, Vitellogenins, biosynthesis, blood, Water Pollutants, Chemical, blood, toxicity
Subject categories Spectroscopy, Environmental toxicology, Microbiology, Medical and Health Sciences

Abstract

Nuclear magnetic resonance (NMR) based metabolomics in combination with multivariate data analysis may become valuable tools to study environmental effects of pharmaceuticals and other chemicals in aquatic organisms. To explore the usefulness of this approach in fish, we have used H-1 NMR metabolomics to compare blood plasma and plasma lipid extracts from rainbow trout exposed to the synthetic contraceptive estrogen ethinylestradiol (EE2) with plasma from control fish. The plasma metabolite profile was affected in fish exposed to 10 ng/L but not 0.87 ng/L of EE2, which was in agreement with an induced vitellogenin synthesis in the high dose group only, as measured by ELISA. The main affected metabolites were vitellogenin, alanine, phospholipids and cholesterol. The responses identified by this discovery-driven method could be put in context with previous knowledge of the effects of estrogens on fish. This adds confidence to the approach of using NMR metabolomics to identify environmental effects of pharmaceuticals and other contaminants. (c) 2006 Elsevier B.V. All rights reserved.

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